AI Architect

We are seeking an experienced AI Architect to design and deliver enterprise-scale AI, Generative AI, and Agentic AI solutions that leverage organizational data to drive business value. The role will define AI architecture, establish best practices, and lead the implementation of scalable, secure, and governed AI platforms.

Key Responsibilities

• Define enterprise AI, GenAI, and Agentic AI architecture and roadmap.
• Design end-to-end AI solutions leveraging enterprise data, knowledge bases, and document repositories.
• Architect and implement RAG, semantic search, and knowledge retrieval solutions using vector databases.
• Build AI systems using LLMs, embeddings, prompt engineering, AI agents, and orchestration frameworks.
• Establish AI platform, MLOps, and LLMOps standards for model deployment, monitoring, and governance.
• Ensure AI security, responsible AI, data privacy, and regulatory compliance.
• Collaborate with business, data, engineering, and cloud teams to deliver AI-driven solutions.

Required Skills

• Strong expertise in Generative AI, Agentic AI, RAG, GraphRAG, Vector Databases, Semantic Search, and Knowledge Management.
• Experience with AI frameworks such as LangChain, LangGraph, and Semantic Kernel.
• Hands-on experience with vector databases such as Pinecone, Weaviate, or Milvus.
• Experience with cloud AI platforms on Microsoft Azure.
• Strong knowledge of AI governance, data architecture, and enterprise integration patterns.
• Proficiency in Python, APIs, and scalable distributed systems.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
• 8+ years of experience in solution architecture, data engineering, AI/ML, or cloud architecture, including hands-on experience with GenAI and enterprise AI implementations.